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Current IDSs usually have several shortcomings. First, the speed and sensitivity of detection are not so ideal. Secondly, the response system lacks the ability to correct errors. Thirdly, the cost of intrusion detection is not considered, that is, the response policy is static. This paper applies fuzzy default theory to transform reasoning and response engine of IDS, based on the proving of IDS as non-monotonic, and set up an intelligent IDS-FDL-IDS. The experiment result showed that FDL-IDS increased the detection speed and sensitivity and decreased the cumulative cost as compared with traditional intrusion detection expert system.